Data Engineer, Platform

New

Skills

Backend Development Bioinformatics Data Modeling Mysql Neo4j Postgres Python

This role involves architecting, implementing, and maintaining data ingestion and transformation pipelines using Dagster. The candidate will identify, catalog, and integrate internal and external data sources, operationalize bioinformatics pipelines on AWS, and normalize heterogeneous data for downstream analysis. Collaboration with backend and AI engineers is essential for designing data-access patterns and writing clean, tested Python code.

Key Responsibilities
  • Architect and implement data ingestion pipelines
  • Integrate internal and external data sources
  • Operationalize bioinformatics pipelines for AWS batch processing
  • Normalize and structure heterogeneous data
  • Collaborate with backend and AI engineers
Requirements & Qualifications
  • BS in CS, Bioinformatics, Computational Biology, or related field; MS preferred
  • 4+ years of production data or software engineering experience
  • Strong Python skills; production-quality code experience
  • Experience with workflow orchestration tools like Dagster, Airflow, or Prefect
  • Hands-on experience with AWS services (S3, ECS, Batch, Lambda)
  • Experience with Postgres/MySQL and/or Neo4j

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: 12 Months

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